We can pass a JSON object as a parameter to a Python function using the json.loads() method. we can also convert the JSON string into a Python dictionary or list, which depends on its structure. Once converted, the data can be used just like any other dictionary or list in Python. JSON Object Consider a JSON object to pass to a python function. We will use it further in this article - { "name":"Rupert", "age": 25, "desig":"developer" } Using json.loads() Function Before passing a JSON object as a parameter ... Read More

In Python, you need to use the built-in json module to work with JSON data. When you want to return data from a function in JSON format, you can use the json.dumps() function to convert a Python dictionary (or similar object) into a JSON string. This is helpful when making APIs, sending data in web responses, or saving organized data in files. Using json.dumps() Function The json.dumps function is used to convert a Python object (like a dictionary or list) into a JSON-formatted string. Syntax Following is its basic syntax - json.dumps(python_object) Where python_object is usually a dictionary or list ... Read More

In Python, handling white spaces between strings is easy. Sometimes, we may want to add space in a string, but we are not sure exactly how much. Python provides different ways to manage this, and one useful method is expandtabs() method. Using the expandtabs() Method The expandtabs() method in Python is used to replace tab characters (\t) in a string with spaces. It returns a new string where each \t is replaced with the number of spaces needed to reach the next tab stop. You can control how many spaces are used by passing a tabsize ... Read More

In Python, you can execute functions with multiple arguments directly from the terminal using different approaches depending on how your function is defined and how you want to provide the arguments. Executing Python functions from the terminal allows you to quickly test or run code without writing a full script. When a function requires multiple arguments, you can pass them manually, use input prompts, or use command-line arguments with the help of modules like sys or argparse. Using the Python Interactive Shell If you are working in the Python interactive shell, you can define and call functions directly by entering ... Read More

In Python, both functions and object methods are used to organize and reuse code, but they have different purposes. To understand which is more fundamental requires understanding how each one works and their roles in Python programming. A function in Python is a block of reusable code that performs a specific task. A method is a function that is associated with an object, meaning it belongs to a class or an instance. While both functions and methods can be used to perform operations, functions are more fundamental in the Python language. Why Functions Are More Fundamental in Python Functions are considered ... Read More

The return statement in Python is used to return a value or a set of values from a function. When a return statement is encountered in a function, the function execution is stopped, and the value specified in the return statement is returned to the caller. Without it, a function simply executes its code but doesn't provide any result back. The return statement allows a function to output a result which can be used later in the program. Why Use the Return Statement? You should use the return statement in the following cases − To ... Read More

In this article we will discuss about how a variable scope works in Python function. The scope of a name is the area of a program in which you can clearly access a name, such as variables. Hence, a variable scope is the region in which we can access a variable as shown in the following example - def multiplication(): product = 7*9 Here, the “product” variable is created inside the function, therefore it can only be accessed within it. In general, the python scope concept is presented using the rule called as the ... Read More

In Python, functions usually have a fixed number of arguments. However, there are situations where we may want to pass a variable number of arguments. In such cases, Python provides two special constructs: *args and **kwargs. *args allows a function to accept any number of positional arguments. **kwargs allows a function to accept any number of keyword arguments. We will discuss both of these concepts deeply in this article. What is "*args" in Python? In Python, *args allows a function to accept any number of positional arguments. These arguments are collected into a tuple inside the function, allowing ... Read More

Anonymous Function in Python An anonymous function is a function which doesn't have a name. We can return a value from an anonymous function, call it at the time of creation or, assign it to a variable. Instead of using the def keyword, which is used for regular functions, anonymous functions are defined using the lambda keyword. Hence, they are commonly referred to as lambda functions. Syntax Following is the syntax to create anonymous functions using the lambda keyword - lambda [args] : expression Although a lambda function can have only one expression, it can have any number ... Read More

Lambda Function in Python Lamda functions are inline functions, i.e., functions that are written in a single line instead of using multiple lines. These are anonymous functions (functions without a name). We can define a lambda function using the lambda keyword. These are typically used when we need to return a function from another function or accept a function as a parameter. We can also use lambda functions with built-in functions like map(), filter(), and sorted(), where we need to perform a small operation quickly without writing a separate full function. Lamda function is basically a shortcut for writing a ... Read More